1 to 25 of 70 Permanent Statistical Modelling Jobs in the Thames Valley

Econometric Modelling Lead (Marketing Mix Modelling) London (Hybrid) | Permanent | £60k-70k base Own the insight. Lead the impact. Join a multi-award-winning analytics powerhouse that’s redefining how brands measure success. We’re looking for a rising star in Marketing Mix Modelling - someone with proven hands … from scoping to insight delivery. Be the face of MMM : Own client relationships, manage stakeholders, and confidently present recommendations. Build and refine automated, scalable modelling solutions using Python, R, or SQL. Collaborate with internal Centres of Excellence to push boundaries in analytics and attribution. Help shape innovative data science … and inspire junior team members, fostering growth and excellence. What You Bring Hands-on experience in MMM/econometric modelling. A strong grounding in statistical modelling with the ability to translate complexity into clarity . Confident storyteller—able to explain technical insights in commercial terms. Solid skills in More ❯

Science Pedigree : Proven track record in senior data science or advanced analytics leadership roles, ideally within innovative or regulated environments. Technical Depth : Expertise in statistical modelling, machine learning (supervised and unsupervised), deep learning, and MLOps. Proficiency in Python, SQL, and data science platforms such as Dataiku, Azure Synapse … insights group, designed to act as an internal accelerator for data-powered innovation. You’ll be empowered to explore emerging methods and tools, traditional statistical modelling ideas, and foundation models to advance to real-time personalisation techniques. The company is already investing heavily in its next-gen analytics More ❯

to ensure data quality and consistency. Handle missing data, outliers, and inconsistencies in large datasets. Data Analysis and Modeling: Analyze extracted data using advanced statistical and machine learning models. Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics. Financial Data Expertise: Leverage More ❯

obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. … and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time … series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing More ❯

in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a More ❯

in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a More ❯

frameworks such as TensorFlow, PyTorch, and scikit-learn Proven track record of developing predictive models for financial applications Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques Experience with cloud computing platforms (AWS, GCP, Azure) Excellent understanding of distributed computing and big data technologies Technical Skills More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to More ❯

or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress-testing More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as More ❯

years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. More ❯

Develop quantitative tools in close collaboration with researchers and engineers, including data pipelines for testing and integrating new data sources. Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets. Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability More ❯

ownership – select and tune models for cloud analysis and longitudinal prediction. Validate in real life – define study protocols, run data-collection campaigns, and perform statistical analyses to prove accuracy across diverse user populations. Ship to production – collaborate with firmware, mobile, and cloud engineers to embed algorithms on cloud and … Masters or PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Biomechanics, Data Science or a closely related discipline. Deep understanding of digital signal processing, statistical modelling and machine-learning techniques, evidenced by publications, patents or shipped products. Minimum 1–2 years applying quantitative analytics or data-modelling More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

Analyst required by highly technical sports trading firm based in central London. The company have been established for more than 10 years, successfully developing statistical models for in-house services and identifying opportunities for investment. The successful Quantitative Analyst will work within a well established Quant team analysing very More ❯

and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Mentor and guide other Data Science team members. Collaborate with a huge variety of More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

management. Proven experience in data analysis, reporting, and operational datasets; adaptable to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; Python and statistical modeling experience is advantageous. Quick learner of new tools; familiarity with Azure Data Factory and data pipelines is a plus. Ability to present complex More ❯

AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI More ❯

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. The … Technical Data Analyst will be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and … maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business More ❯

coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

programming skills in Python, C++, or similar languages used in trading environments. Solid understanding of financial markets, trading systems, and market data. Experience with statistical modeling, machine learning, or signal processing techniques. Ability to work in a fast-paced, collaborative environment with a high degree of autonomy. Excellent problem More ❯

Modelling and Simulation Scientist QSP | PK/PD Remote (UK) This is an opportunity to join a growing consultancy business, renowned for their work across emerging biopharma companies to top-tier pharma and leading research institutes. They have a huge presence across the oncology fields in particular, with several … long standing global clients. As part of their growth, they are recruiting for an experienced Modelling and Simulation Scientist who will join the Quantitative Pharmacology Team. You will have the opportunity to work fully remote, with the option for office in Oxford! You will lead clients on their journey … to success, putting into practice your expertise across various modelling techniques such as QSP, PK/PD. Clients will range from small to enterprise organisations with specialist research areas. Core responsibilities Deliver high quality quantitative pharmacology modelling and simulation projects Analyse and interpret experimental data from preclinical and More ❯